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2020 – today
- 2020
[j199]Sutong Wang, Yuyan Wang, Dujuan Wang
, Yunqiang Yin, Yanzhang Wang, Yaochu Jin:
An improved random forest-based rule extraction method for breast cancer diagnosis. Appl. Soft Comput. 86 (2020)- [j198]Handing Wang, Yaochu Jin, Cuie Yang, Licheng Jiao:
Transfer stacking from low-to high-fidelity: A surrogate-assisted bi-fidelity evolutionary algorithm. Appl. Soft Comput. 92: 106276 (2020) - [j197]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 15(1): 19-21 (2020) - [j196]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 15(2): 11-13 (2020) - [j195]Shuai Wang, Jing Liu, Yaochu Jin:
Robust Structural Balance in Signed Networks Using a Multiobjective Evolutionary Algorithm. IEEE Comput. Intell. Mag. 15(2): 24-35 (2020) - [j194]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 15(3): 12-14 (2020) - [j193]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 15(4): 5-7 (2020) - [j192]Yan Zhou, Yaochu Jin, Jinliang Ding:
Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines. Neurocomputing 406: 12-23 (2020) - [j191]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization. Inf. Sci. 519: 317-331 (2020) - [j190]Yuanchao Liu, Jianchang Liu, Yaochu Jin, Fei Li, Tianzi Zheng:
An affinity propagation clustering based particle swarm optimizer for dynamic optimization. Knowl. Based Syst. 195: 105711 (2020) - [j189]Yuanjun Huang, Yaochu Jin, Kuangrong Hao:
Decision-making and multi-objectivization for cost sensitive robust optimization over time. Knowl. Based Syst. 199: 105857 (2020) - [j188]Yang Chen, Yaochu Jin, Xiaoyan Sun:
Language model based interactive estimation of distribution algorithm. Knowl. Based Syst. 200: 105980 (2020) - [j187]Peng Liao, Chaoli Sun, Guochen Zhang, Yaochu Jin:
Multi-surrogate multi-tasking optimization of expensive problems. Knowl. Based Syst. 205: 106262 (2020) - [j186]Zhen Yang, Yongsheng Ding, Yaochu Jin, Kuangrong Hao:
Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service. IEEE Trans. Cybern. 50(1): 164-177 (2020) - [j185]Handing Wang, Yaochu Jin:
A Random Forest-Assisted Evolutionary Algorithm for Data-Driven Constrained Multiobjective Combinatorial Optimization of Trauma Systems. IEEE Trans. Cybern. 50(2): 536-549 (2020) - [j184]Xingyi Zhang, Kefei Zhou, Hebin Pan, Lei Zhang, Xiangxiang Zeng, Yaochu Jin:
A Network Reduction-Based Multiobjective Evolutionary Algorithm for Community Detection in Large-Scale Complex Networks. IEEE Trans. Cybern. 50(2): 703-716 (2020) - [j183]Ye Tian, Xingyi Zhang, Ran Cheng, Cheng He, Yaochu Jin:
Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling. IEEE Trans. Cybern. 50(3): 1106-1119 (2020) - [j182]Guo Yu, Yaochu Jin, Markus Olhofer:
Benchmark Problems and Performance Indicators for Search of Knee Points in Multiobjective Optimization. IEEE Trans. Cybern. 50(8): 3531-3544 (2020) - [j181]Ye Tian, Xiutao Zheng, Xingyi Zhang, Yaochu Jin:
Efficient Large-Scale Multiobjective Optimization Based on a Competitive Swarm Optimizer. IEEE Trans. Cybern. 50(8): 3696-3708 (2020) - [j180]Yanan Sun, Handing Wang, Bing Xue, Yaochu Jin, Gary G. Yen, Mengjie Zhang:
Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor. IEEE Trans. Evol. Comput. 24(2): 350-364 (2020) - [j179]Ye Tian, Xingyi Zhang, Chao Wang, Yaochu Jin:
An Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 24(2): 380-393 (2020) - [j178]Cuie Yang, Jinliang Ding, Yaochu Jin, Tianyou Chai:
Offline Data-Driven Multiobjective Optimization: Knowledge Transfer Between Surrogates and Generation of Final Solutions. IEEE Trans. Evol. Comput. 24(3): 409-423 (2020) - [j177]Shuai Wang, Jing Liu, Yaochu Jin:
Surrogate-Assisted Robust Optimization of Large-Scale Networks Based on Graph Embedding. IEEE Trans. Evol. Comput. 24(4): 735-749 (2020) - [j176]Celimuge Wu, Yaochu Jin, Jie Li, Kok-Lim Alvin Yau, Junaid Qadir:
Guest Editorial Special Issue on Big Data and Computational Intelligence for Agile Wireless IoT. IEEE Trans. Emerg. Top. Comput. Intell. 4(3): 202-205 (2020) - [j175]Adam Slowik, Krzysztof Cpalka, Yaochu Jin:
Introduction to the Special Issue on Nature-Inspired Optimization Methods in Fuzzy Systems. IEEE Trans. Fuzzy Syst. 28(6): 1019-1022 (2020) - [j174]Hangyu Zhu, Yaochu Jin:
Multi-Objective Evolutionary Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1310-1322 (2020) - [j173]Xinjie Wang, Yaochu Jin, Kuangrong Hao:
Evolving Local Plasticity Rules for Synergistic Learning in Echo State Networks. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1363-1374 (2020) - [j172]Yang Chen, Xiaoyan Sun, Yaochu Jin:
Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4229-4238 (2020) - [j171]Li Huang, Yongsheng Ding, MengChu Zhou, Yaochu Jin, Kuangrong Hao:
Multiple-Solution Optimization Strategy for Multirobot Task Allocation. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 4283-4294 (2020) - [c155]Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin:
Techniques for Accelerating Multi-Objective Evolutionary Algorithms in PlatEMO. CEC 2020: 1-8 - [c154]Thiago Zafalon Miranda, Diorge Brognara Sardinha, Márcio Porto Basgalupp, Yaochu Jin, Ricardo Cerri:
Generation of consistent sets of multi-label classification rules with a multi-objective evolutionary algorithm. GECCO Companion 2020: 143-144 - [c153]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times. GECCO 2020: 587-594 - [c152]Huaming Chen, Yaochu Jin, Lei Wang, Chi-Hung Chi, Jun Shen:
HIME: Mining and Ensembling Heterogeneous Information for Protein-Protein Interactions Prediction. IJCNN 2020: 1-8 - [c151]Rahma Fourati, Boudour Ammar, Yaochu Jin, Adel M. Alimi:
EEG feature learning with Intrinsic Plasticity based Deep Echo State Network. IJCNN 2020: 1-8 - [c150]Xinjie Wang, Yaochu Jin, Kuangrong Hao:
A Gated Recurrent Unit based Echo State Network. IJCNN 2020: 1-7 - [c149]Huaming Chen, Jun Shen, Lei Wang, Yaochu Jin:
Towards A More Effective Bidirectional LSTM-Based Learning Model for Human-Bacterium Protein-Protein Interactions. PACBB 2020: 91-101 - [c148]Guoxia Fu, Chaoli Sun, Ying Tan, Guochen Zhang, Yaochu Jin:
A Surrogate-Assisted Evolutionary Algorithm with Random Feature Selection for Large-Scale Expensive Problems. PPSN (1) 2020: 125-139 - [p11]Tinkle Chugh, Chaoli Sun, Handing Wang, Yaochu Jin:
Surrogate-Assisted Evolutionary Optimization of Large Problems. High-Performance Simulation-Based Optimization 2020: 165-187 - [i18]Hangyu Zhu, Yaochu Jin:
Real-time Federated Evolutionary Neural Architecture Search. CoRR abs/2003.02793 (2020) - [i17]Jinjin Xu, Wenli Du, Ran Cheng, Wangli He, Yaochu Jin:
Ternary Compression for Communication-Efficient Federated Learning. CoRR abs/2003.03564 (2020) - [i16]Yan Xiao, Yaochu Jin, Ran Cheng, Kuangrong Hao:
Hybrid Attention-Based Transformer Block Model for Distant Supervision Relation Extraction. CoRR abs/2003.11518 (2020) - [i15]Haoyu Zhang, Yaochu Jin, Ran Cheng, Kuangrong Hao:
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search. CoRR abs/2003.11613 (2020) - [i14]Thiago Zafalon Miranda, Diorge Brognara Sardinha, Márcio Porto Basgalupp, Yaochu Jin, Ricardo Cerri:
Generation of Consistent Sets of Multi-Label Classification Rules with a Multi-Objective Evolutionary Algorithm. CoRR abs/2003.12526 (2020) - [i13]Hangyu Zhu, Haoyu Zhang, Yaochu Jin:
From Federated Learning to Federated Neural Architecture Search: A Survey. CoRR abs/2009.05868 (2020) - [i12]Foivos Ntelemis, Yaochu Jin, Spencer A. Thomas:
Image Clustering using an Augmented Generative Adversarial Network and Information Maximization. CoRR abs/2011.04094 (2020) - [i11]Hangyu Zhu, Rui Wang, Yaochu Jin, Kaitai Liang, Jianting Ning:
Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning. CoRR abs/2011.12623 (2020)
2010 – 2019
- 2019
- [j170]Yuyan Wang, Dujuan Wang, Na Geng, Yanzhang Wang, Yunqiang Yin, Yaochu Jin:
Stacking-based ensemble learning of decision trees for interpretable prostate cancer detection. Appl. Soft Comput. 77: 188-204 (2019) - [j169]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 14(1): 10-12 (2019) - [j168]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 14(2): 13-15 (2019) - [j167]Ye Tian, Ran Cheng, Xingyi Zhang, Miqing Li, Yaochu Jin:
Diversity Assessment of Multi-Objective Evolutionary Algorithms: Performance Metric and Benchmark Problems [Research Frontier]. IEEE Comput. Intell. Mag. 14(3): 61-74 (2019) - [j166]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 14(4): 8-10 (2019) - [j165]Xinjie Wang, Yaochu Jin, Kuangrong Hao:
Echo state networks regulated by local intrinsic plasticity rules for regression. Neurocomputing 351: 111-122 (2019) - [j164]Ruwang Jiao, Sanyou Zeng, Changhe Li, Yuhong Jiang, Yaochu Jin:
A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization. Inf. Sci. 471: 80-96 (2019) - [j163]Yuyan Wang, Dujuan Wang, Xin Ye, Yanzhang Wang, Yunqiang Yin, Yaochu Jin:
A tree ensemble-based two-stage model for advanced-stage colorectal cancer survival prediction. Inf. Sci. 474: 106-124 (2019) - [j162]Dong Han, Wenli Du, Wei Du, Yaochu Jin, Chunping Wu:
An adaptive decomposition-based evolutionary algorithm for many-objective optimization. Inf. Sci. 491: 204-222 (2019) - [j161]Jinliang Ding, Yaochu Jin:
To the special Issue on "Metaheuristics for optimization of complex process engineering". Nat. Comput. 18(4): 677-678 (2019) - [j160]Dujuan Wang, Feng Liu, Yaochu Jin:
A proactive scheduling approach to steel rolling process with stochastic machine breakdown. Nat. Comput. 18(4): 679-694 (2019) - [j159]Xin Ye, Jia Li, Sihao Liu, Jiwei Liang, Yaochu Jin:
A hybrid instance-intensive workflow scheduling method in private cloud environment. Nat. Comput. 18(4): 735-746 (2019) - [j158]Fan Guo, Lihong Ren, Yaochu Jin, Yongsheng Ding:
A dynamic SVR-ARMA model with improved fruit fly algorithm for the nonlinear fiber stretching process. Nat. Comput. 18(4): 747-756 (2019) - [j157]Murillo G. Carneiro, Ran Cheng, Liang Zhao, Yaochu Jin:
Particle swarm optimization for network-based data classification. Neural Networks 110: 243-255 (2019) - [j156]Qinqin Fan, Yaochu Jin, Weili Wang, Xuefeng Yan:
A performance-driven multi-algorithm selection strategy for energy consumption optimization of sea-rail intermodal transportation. Swarm Evol. Comput. 44: 1-17 (2019) - [j155]Cuie Yang, Jinliang Ding, Yaochu Jin, Chengzhi Wang, Tianyou Chai:
Multitasking Multiobjective Evolutionary Operational Indices Optimization of Beneficiation Processes. IEEE Trans Autom. Sci. Eng. 16(3): 1046-1057 (2019) - [j154]Yuyan Han, Dunwei Gong, Yaochu Jin, Quan-Ke Pan:
Evolutionary Multiobjective Blocking Lot-Streaming Flow Shop Scheduling With Machine Breakdowns. IEEE Trans. Cybern. 49(1): 184-197 (2019) - [j153]Dan Guo, Yaochu Jin, Jinliang Ding, Tianyou Chai:
Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive Problems. IEEE Trans. Cybern. 49(3): 1012-1025 (2019) - [j152]Yicun Hua, Yaochu Jin, Kuangrong Hao:
A Clustering-Based Adaptive Evolutionary Algorithm for Multiobjective Optimization With Irregular Pareto Fronts. IEEE Trans. Cybern. 49(7): 2758-2770 (2019) - [j151]Miao Rong, Dunwei Gong, Yong Zhang, Yaochu Jin, Witold Pedrycz:
Multidirectional Prediction Approach for Dynamic Multiobjective Optimization Problems. IEEE Trans. Cybern. 49(9): 3362-3374 (2019) - [j150]Xingguang Peng, Yaochu Jin, Handing Wang:
Multimodal Optimization Enhanced Cooperative Coevolution for Large-Scale Optimization. IEEE Trans. Cybern. 49(9): 3507-3520 (2019) - [j149]Jinliang Ding, Cuie Yang, Yaochu Jin, Tianyou Chai:
Generalized Multitasking for Evolutionary Optimization of Expensive Problems. IEEE Trans. Evol. Comput. 23(1): 44-58 (2019) - [j148]Linqiang Pan, Cheng He, Ye Tian, Handing Wang, Xingyi Zhang, Yaochu Jin:
A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization. IEEE Trans. Evol. Comput. 23(1): 74-88 (2019) - [j147]Handing Wang, Yaochu Jin, Chaoli Sun, John Doherty:
Offline Data-Driven Evolutionary Optimization Using Selective Surrogate Ensembles. IEEE Trans. Evol. Comput. 23(2): 203-216 (2019) - [j146]Ye Tian, Ran Cheng, Xingyi Zhang, Yansen Su, Yaochu Jin:
A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization. IEEE Trans. Evol. Comput. 23(2): 331-345 (2019) - [j145]Yaochu Jin, Handing Wang, Tinkle Chugh, Dan Guo, Kaisa Miettinen:
Data-Driven Evolutionary Optimization: An Overview and Case Studies. IEEE Trans. Evol. Comput. 23(3): 442-458 (2019) - [j144]Jie Tian, Ying Tan, Jianchao Zeng, Chaoli Sun, Yaochu Jin:
Multiobjective Infill Criterion Driven Gaussian Process-Assisted Particle Swarm Optimization of High-Dimensional Expensive Problems. IEEE Trans. Evol. Comput. 23(3): 459-472 (2019) - [j143]Zhen Yang, Yaochu Jin, Kuangrong Hao:
A Bio-Inspired Self-Learning Coevolutionary Dynamic Multiobjective Optimization Algorithm for Internet of Things Services. IEEE Trans. Evol. Comput. 23(4): 675-688 (2019) - [j142]Cheng He, Lianghao Li, Ye Tian, Xingyi Zhang, Ran Cheng, Yaochu Jin, Xin Yao:
Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation. IEEE Trans. Evol. Comput. 23(6): 949-961 (2019) - [j141]Jinliang Ding, Cuie Yang, Qiong Xiao, Tianyou Chai, Yaochu Jin:
Dynamic Evolutionary Multiobjective Optimization for Raw Ore Allocation in Mineral Processing. IEEE Trans. Emerg. Top. Comput. Intell. 3(1): 36-48 (2019) - [j140]Chaoli Sun, Handing Wang, Wenli Du, Yaochu Jin:
Guest Editorial: Special Issue on Computational Intelligence in Data-Driven Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 3(2): 90-92 (2019) - [j139]Wei Du, Weimin Zhong, Yang Tang, Wenli Du, Yaochu Jin:
High-Dimensional Robust Multi-Objective Optimization for Order Scheduling: A Decision Variable Classification Approach. IEEE Trans. Ind. Informatics 15(1): 293-304 (2019) - [c147]Huaming Chen, Lei Wang, Yaochu Jin, Chi-Hung Chi, Fucun Li, Huaiyuan Chu, Jun Shen:
Hyperparameter Estimation in SVM with GPU Acceleration for Prediction of Protein-Protein Interactions. BigData 2019: 2197-2204 - [c146]Cheng He, Ran Cheng, Yaochu Jin, Xin Yao:
Surrogate-Assisted Expensive Many-Objective Optimization by Model Fusion. CEC 2019: 1672-1679 - [c145]Ye Tian, Shangshang Yang, Xingyi Zhang, Yaochu Jin:
Using PlatEMO to Solve Multi-Objective Optimization Problems in Applications: A Case Study on Feature Selection. CEC 2019: 1710-1717 - [c144]Qiqi Liu, Yaochu Jin, Martin Heiderich, Tobias Rodemann:
Adaptation of Reference Vectors for Evolutionary Many-objective Optimization of Problems with Irregular Pareto Fronts. CEC 2019: 1726-1733 - [c143]Hao Wang, Chaoli Sun, Yaochu Jin, Shufen Qin, Haibo Yu:
A Multi-indicator based Selection Strategy for Evolutionary Many-objective Optimization. CEC 2019: 2042-2049 - [c142]Guo Yu, Yaochu Jin, Markus Olhofer:
References or Preferences - Rethinking Many-objective Evolutionary Optimization. CEC 2019: 2410-2417 - [c141]Shufen Qin, Chaoli Sun, Yaochu Jin, Lier Lan, Ying Tan:
A New Selection Strategy for Decomposition-based Evolutionary Many-Objective Optimization. CEC 2019: 2426-2433 - [c140]Guo Yu, Yaochu Jin, Markus Olhofer:
An a priori knee identification multi-objective evolutionary algorithm based on α-dominance. GECCO (Companion) 2019: 241-242 - [c139]Tinkle Chugh, Tomas Kratky, Kaisa Miettinen, Yaochu Jin, Pekka Makkonen:
Multiobjective shape design in a ventilation system with a preference-driven surrogate-assisted evolutionary algorithm. GECCO 2019: 1147-1155 - [c138]Yan Zhou, Yaochu Jin, Jinliang Ding:
Evolutionary Optimization of Liquid State Machines for Robust Learning. ISNN (1) 2019: 389-398 - [c137]Jia Liu, Yaochu Jin:
Evolving Hyperparameters for Training Deep Neural Networks against Adversarial Attacks. SSCI 2019: 1778-1785 - [c136]Shufen Qin, Chaoli Sun, Yaochu Jin, Guochen Zhang:
Bayesian Approaches to Surrogate-Assisted Evolutionary Multi-objective Optimization: A Comparative Study. SSCI 2019: 2074-2080 - [c135]Ye Tian, Shichen Peng, Tobias Rodemann, Xingyi Zhang, Yaochu Jin:
Automated Selection of Evolutionary Multi-objective Optimization Algorithms. SSCI 2019: 3225-3232 - [i10]Yang Chen, Xiaoyan Sun, Yaochu Jin:
Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation. CoRR abs/1903.07424 (2019) - [i9]Cheng He, Shihua Huang, Ran Cheng, Kay Chen Tan, Yaochu Jin:
Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks (GANs). CoRR abs/1910.04966 (2019) - [i8]Yu Chen, Yuanyuan Yang, Yaochu Jin, Xiufen Zou:
Identification of Interaction Clusters Using a Semi-supervised Hierarchical Clustering Method. CoRR abs/1910.08864 (2019) - [i7]Yushuai Hu, Yaochu Jin, Runhua Li, Xiangxiang Zhang:
CMSN: Continuous Multi-stage Network and Variable Margin Cosine Loss for Temporal Action Proposal Generation. CoRR abs/1911.06080 (2019) - [i6]Sampo Kuutti, Richard Bowden, Yaochu Jin, Phil Barber, Saber Fallah:
A Survey of Deep Learning Applications to Autonomous Vehicle Control. CoRR abs/1912.10773 (2019) - 2018
- [j138]Fei Li, Ran Cheng, Jianchang Liu, Yaochu Jin:
A two-stage R2 indicator based evolutionary algorithm for many-objective optimization. Appl. Soft Comput. 67: 245-260 (2018) - [j137]Cuie Yang, Jinliang Ding, Yaochu Jin, Tianyou Chai:
Incremental data-driven optimization of complex systems in nonstationary environments. Sci. China Inf. Sci. 61(12): 129205:1-129205:3 (2018) - [j136]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 13(1): 25-27 (2018) - [j135]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 13(2): 13-15 (2018) - [j134]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 13(3): 8-11 (2018) - [j133]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 13(4): 10-12 (2018) - [j132]Shaoze Cui, Dujuan Wang, Yanzhang Wang, Pay-Wen Yu, Yaochu Jin:
An improved support vector machine-based diabetic readmission prediction. Comput. Methods Programs Biomed. 166: 123-135 (2018) - [j131]Chao Qian, Yang Yu, Ke Tang, Yaochu Jin, Xin Yao, Zhi-Hua Zhou:
On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments. Evol. Comput. 26(2) (2018) - [j130]Zhaomin Chen, Chai Kiat Yeo, Bu-Sung Lee, Chiew Tong Lau, Yaochu Jin:
Evolutionary multi-objective optimization based ensemble autoencoders for image outlier detection. Neurocomputing 309: 192-200 (2018) - [j129]Xingyi Zhang, Xiutao Zheng, Ran Cheng, Jianfeng Qiu, Yaochu Jin:
A competitive mechanism based multi-objective particle swarm optimizer with fast convergence. Inf. Sci. 427: 63-76 (2018) - [j128]Haibo Yu, Ying Tan, Jianchao Zeng, Chaoli Sun, Yaochu Jin:
Surrogate-assisted hierarchical particle swarm optimization. Inf. Sci. 454-455: 59-72 (2018) - [j127]Chaoli Sun, Jinliang Ding, Jianchao Zeng, Yaochu Jin:
A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems. Memetic Comput. 10(2): 123-134 (2018) - [j126]Shenkai Gu, Ran Cheng, Yaochu Jin:
Feature selection for high-dimensional classification using a competitive swarm optimizer. Soft Comput. 22(3): 811-822 (2018) - [j125]Hyondong Oh, Ataollah Ramezan Shirazi, Yaochu Jin:
Morphogen diffusion algorithms for tracking and herding using a swarm of kilobots. Soft Comput. 22(6): 1833-1844 (2018) - [j124]Zhenping Xie, Yaochu Jin:
An Extended Reinforcement Learning Framework to Model Cognitive Development With Enactive Pattern Representation. IEEE Trans. Cogn. Dev. Syst. 10(3): 738-750 (2018) - [j123]Yaochu Jin, Kaisa Miettinen, Hisao Ishibuchi:
Guest Editorial Evolutionary Many-Objective Optimization. IEEE Trans. Evol. Comput. 22(1): 1-2 (2018) - [j122]Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin:
A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization. IEEE Trans. Evol. Comput. 22(1): 97-112 (2018) - [j121]Tinkle Chugh, Yaochu Jin, Kaisa Miettinen, Jussi Hakanen, Karthik Sindhya:
A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization. IEEE Trans. Evol. Comput. 22(1): 129-142 (2018) - [j120]Ye Tian, Ran Cheng, Xingyi Zhang, Fan Cheng, Yaochu Jin:
An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility. IEEE Trans. Evol. Comput. 22(4): 609-622 (2018) - [j119]Handing Wang,